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ORCIDRaghavendra Addanki
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2020 – today
- 2022
[c7]Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. ESA 2022: 2:1-2:16- [c6]Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou:
Improved Approximation and Scalability for Fair Max-Min Diversification. ICDT 2022: 7:1-7:21 - [i9]Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou:
Improved Approximation and Scalability for Fair Max-Min Diversification. CoRR abs/2201.06678 (2022) - [i8]Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. CoRR abs/2207.02817 (2022) - [i7]Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao:
Sample Constrained Treatment Effect Estimation. CoRR abs/2210.06594 (2022) - 2021
- [j1]Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. 14(10): 1703-1716 (2021) - [c5]Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. ALT 2021: 151-184 - [c4]Raghavendra Addanki, Shiva Prasad Kasiviswanathan:
Collaborative Causal Discovery with Atomic Interventions. NeurIPS 2021: 12761-12773 - [i6]Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR abs/2105.05782 (2021) - [i5]Raghavendra Addanki, Shiva Prasad Kasiviswanathan:
Collaborative Causal Discovery with Atomic Interventions. CoRR abs/2106.03028 (2021) - 2020
- [c3]Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco:
Efficient Intervention Design for Causal Discovery with Latents. ICML 2020: 63-73 - [c2]Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal, James Allan:
Search Result Diversification with Guarantee of Topic Proportionality. ICTIR 2020: 53-60 - [i4]Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco:
Efficient Intervention Design for Causal Discovery with Latents. CoRR abs/2005.11736 (2020) - [i3]Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. CoRR abs/2012.13976 (2020)
2010 – 2019
- 2019
- [c1]Amir Abboud, Raghavendra Addanki, Fabrizio Grandoni
, Debmalya Panigrahi, Barna Saha:
Dynamic set cover: improved algorithms and lower bounds. STOC 2019: 114-125 - [i2]Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo:
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR abs/1907.08650 (2019) - 2018
- [i1]Raghavendra Addanki, Barna Saha:
Fully Dynamic Set Cover - Improved and Simple. CoRR abs/1804.03197 (2018)
Coauthor Index
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last updated on 2022-10-19 22:03 CEST by the dblp team
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